gtars

Genomic interval overlap detection between BED files is performed by building IGD indexes to quickly find intersecting regions for variant annotation and regulatory element comparison. Gtars executes this high-performance overlap detection using Rust-based tooling.

Generating BigWig coverage tracks from a BED fragments file is done by converting interval and fragment inputs into WIG or BigWig-ready coverage outputs for visualization. You can run gtars uniwig generate --input fragments.bed --output coverage.bw --format bigwig.

Genomic tokenization for single-cell fragment processing and ML preprocessing is supported by transforming genomic regions into ML tokens. Gtars provides fragment splitting and scoring utilities to prepare single-cell genomics data for machine learning workflows.

Gtars utilizes Rust-based interval tooling with Python bindings to provide both CLI and Python interfaces for genomic interval analysis and refget protocol-compliant reference sequence operations. The Rust components power the underlying high-performance computations.

Comparing peak regions is achieved through IGD indexing, which enables rapid overlap detection between multiple BED region sets. This mechanism allows you to efficiently find intersections for regulatory element comparison and variant annotation.